Unsupervised Manifold Alignment with Joint Multidimensional Scaling.
Dexiong ChenBowen FanCarlos G. OliverKarsten M. BorgwardtPublished in: CoRR (2022)
Keyphrases
- manifold alignment
- multidimensional scaling
- low dimensional
- transfer learning
- lower dimensional
- domain adaptation
- dimensionality reduction
- cluster analysis
- euclidean distance
- principal component analysis
- transfer knowledge
- kernel pca
- latent semantic indexing
- data points
- vector space
- supervised learning
- reinforcement learning
- information retrieval
- training data
- geodesic distance
- feature space
- manifold learning
- high dimensional
- distance metric
- data mining
- high dimensional data
- unsupervised learning
- semi supervised